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Paper Abstract and Keywords
Presentation 2010-03-16 15:05
Hand Shape Recognition based on SVM and online learning with HOG
Ryousuke Mutou, Kazutaka Shimada, Tsutomu Endo (Kyushu Inst. of Tech.) PRMU2009-311 HIP2009-196
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we proposed a combined method for hand shape recognition. It consists of support vector machines (SVMs) and an online learning algorithm based on the percepron. We apply HOG features to each method. First, our method estimates a hand shape of an input image by using SVMs. Also the online learning method with the perceptron uses the input image as training data if the data possesses a high confidence score in the recognition process. Next, we select the final hand shape from the outputs from the SVMs and perceptron by using the score from SVMs. We compared the combined method with SVMs. The experimental results show the effectiveness of the proposed method
Keyword (in Japanese) (See Japanese page) 
(in English) hand shape recognition / online learning / HOG features / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 470, PRMU2009-311, pp. 459-464, March 2010.
Paper # PRMU2009-311 
Date of Issue 2010-03-08 (PRMU, HIP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2009-311 HIP2009-196

Conference Information
Committee PRMU HIP  
Conference Date 2010-03-15 - 2010-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-03-PRMU-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hand Shape Recognition based on SVM and online learning with HOG 
Sub Title (in English)  
Keyword(1) hand shape recognition  
Keyword(2) online learning  
Keyword(3) HOG features  
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1st Author's Name Ryousuke Mutou  
1st Author's Affiliation Kyushu Institute of Technology Graduate Scool (Kyushu Inst. of Tech.)
2nd Author's Name Kazutaka Shimada  
2nd Author's Affiliation Kyushu Institute of Technology Graduate Scool (Kyushu Inst. of Tech.)
3rd Author's Name Tsutomu Endo  
3rd Author's Affiliation Kyushu Institute of Technology Graduate Scool (Kyushu Inst. of Tech.)
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Speaker Author-1 
Date Time 2010-03-16 15:05:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # PRMU2009-311, HIP2009-196 
Volume (vol) vol.109 
Number (no) no.470(PRMU), no.471(HIP) 
Page pp.459-464 
#Pages 6 
Date of Issue 2010-03-08 (PRMU, HIP) 

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